News
Tesla’s 4680 cell production process outlined in Giga Berlin’s revised filings
Tesla’s revised documents for Gigafactory Berlin have been posted online, and they are a treasure trove of information. The documents provided some new details about Tesla’s planned 4680 battery plant in Gigafactory Berlin, which Elon Musk noted is on track to be one of the world’s largest battery production facilities. They also outlined how Tesla’s 4680 cells are produced.
While sections of the filing pertaining to the planned 4680 battery cell plant in Giga Berlin were blacked out due to sensitive information that could not be made public, the documents show some important tidbits about the upcoming facility. This includes the facility’s cell production operations over four floors, with anode and cathode production on the first floor and tabless cell production on the third floor. The battery plant is massive, requiring large foundations similar to Gigafactory Berlin’s Phase 1 zone.
Anode and cathode production in the 1st floor pic.twitter.com/tOoV4b3Iur
— Tobias Lindh (@tobilindh) June 18, 2021
Most importantly, Tesla also submitted a simplified diagram of its 4680 battery cell production process, though most of the diagram was blacked out in the revised filing’s public release. However, the company provided a brief overview of how its new battery cell will be produced in the upcoming facility (roughly translated through Google Translate).
“The battery the Gigafactory Berlin requires special systems and process steps. The anodes and cathodes consist of coated current collector foils. Copper is used as the material for the anode foil and aluminum is used for the cathode foil. The anode and cathode components are manufactured in mixed processes (A020-01 and A020-02), which only use materials in powder form. The new materials used are tested and approved in our own laboratory (A020-11).
“In order for the powder coating to adhere to the two films, they must first be pre-coated with a thin layer of adhesive (substrate) (A020-03 and A020-04). This substrate is delivered in containers. The pre-coating is necessary because a dry coating with powder takes place. After the anode and cathode components have been mixed, they are applied as a coating to the respective substrate-coated film in order to establish electrical contact (A020-05 and A020-06). The current collector foils, coated with the anode or cathode components, result in the finished anode or cathode.
Page 239 pic.twitter.com/7gDk2fSeVy
— Giga Berlin / Gigafactory 4 (@gigafactory_4) June 18, 2021
The revised filings also provided a general idea of how Tesla’s tabless cell production works. Among these is the fact that the finished 4680 cells would be subjected to 10 days’ worth of curing after their formation.
“The anode or cathode is then cut to the required lengths with a laser in the “tabless process” (A020-08). The anode, the cathode and the separator are alternately placed one on top of the other and rolled up into a roll. This roller is then inserted into a metal housing, which is manufactured from steel rollers in a die-cutting and deep-drawing process (A020-07). In the assembly area, the final assembly and filling of the cell takes place with small amounts of electrolyte (approx. 10% of the cell weight) (A020-09).
“The electrolyte is absorbed by the electrode coatings and enables the lithium ions to move back and forth between the anode and cathode. The housing is then closed with a lid in a welding process. The last step is the formation (A020-10) of the cell. In the formation process, the cell is electrically started up by charging and discharging it under different temperature conditions. The finished cell remains in this area for approx. 10 days and is then put to further use. The cells produced are subjected to random quality control in our own laboratory (A020-11).”
A link to Tesla’s filings for Gigafactory Berlin could be found here.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
